Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients. Embodiments of the invention provide decision support services including providing timely contextual patient information including condition risks, risk factors and relevant clinical information that are dynamically updatable; imputing missing patient information; dynamically generating assessments for obtaining additional patient information based on context; data-mining and information discovery services including discovering new knowledge; identifying or evaluating treatments or sequences of patient care actions and behaviors, and providing recommendations based on this; intelligent, adaptive decision support services including identifying critical junctures in patient care processes, such as points in time that warrant close attention by caregivers; near-real time querying across diverse health records data sources, which may use diverse clinical nomenclatures and ontologies; improved natural language processing services; and other decision support services.
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4. The method of claim 1, wherein the machine learning weighs information from the mapped content such that more recent information has a higher weighting than older information.
6. The method of claim 1, wherein the one or more processors comprise computing devices of a distributed computing architecture.
8. The method of claim 1, wherein a set of questions for the patient assessment are determined based on health records for a population of patients, wherein each health record includes information corresponding to the clinical decision support event.
12. The one or more computer storage devices of claim 9, wherein the machine learning weighs information from the mapped content such that more recent information has a higher weighting than older information.
14. The one or more computer storage devices of claim 9, wherein the one or more processors comprise computing devices of a distributed computing architecture.
16. The one or more computer storage devices of claim 9, wherein a set of questions for the patient assessment are determined based on health records for a population of patients, wherein each health record includes information corresponding to the clinical decision support event.
20. The method of claim 19, wherein the machine learning weighs information from the mapped content such that more recent information has a higher weighting than older information.
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January 6, 2014
February 14, 2023
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